Evidence map›Paper›PMID 40826266›Full record

ArticleScientific reports2025

An effective hybrid method for the optimal control of fraud rumor propagation on online social networks.

Raheleh Khanduzi, Amin Jajarmi, Asiyeh Ebrahimzadeh

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Raheleh KhanduziDepartment of Mathematics and Statistics, Gonbad Kavous University, Gonbad Kavous, P.O. Box, 49717-991, Golestan, Iran. khanduzi@gonbad.ac.ir.
Amin JajarmiDepartment of Electrical Engineering, University of Bojnord, Bojnord, P.O. Box, 94531-1339, North Khorasan, Iran.
Asiyeh EbrahimzadehDepartment of Mathematics Education, Farhangian University, Tehran, P.O. Box, 14665-889, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper develops an SEIR-type control model for an optimal control problem (OCP) related to rumor propagation (RP), aiming to address three control strategies designed to reduce the amount of false information and defrauders in online social networks (OSNs). We explore an OCP to analyze the behavior of uninformed individuals against false rumors, the effectiveness of filtering information propagation within OSNs, and the implementation of punitive measures against defrauders. To solve this OCP, we employ a hybrid discretization-metaheuristic approach that integrates the collocation method to transform the OCP of the RP model into a nonlinear programming (NLP) with a Botox optimizer for the NLP to detect the optimal control, state variables, and objective functional. By collecting data on RP from relevant existing literature, we can better verify the SEIR-type control model to stop RP. Numerical simulations confirm the meaningful effect of three strategies that reduce the persons' exposure to rumors and the defrauder's tendency to mislead individuals over OSNs in controlling and stopping the RP.

Identifiers

PMID40826266
PMCPMC12361506

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.